Find research datasets worth reusing

opencc-by-4.0Feb 2024View details →

GFUS: A global survey of human fire interactions

<h1>GFUS: A global survey of human-fire interactions</h1> These files support the publication of "Expert elicitation suggests community-led fire governance can enable effective adaptation to a more flammable world". The files contain data from a survey of experts on human-fire interactions as well as code used to process and analyse it. An overview of the files is given below.  <h2>1) Data</h2> Raw survey data are provided by geographic region ("GFUS_region"). Data processed to produce analyses in the associated paper are provided as "GFUS_Processed". Columns in data files are named by the question of the survey that generated them (Q1b through Q90). The contents of the associated questions that were asked are given in the data_dictionary.xlsx file. - GFUS_spatial provides the data merged with a shapefile of the survey regions.  - "Gov_compare" and "LIFE_SH_fire" provide files to compare survey data with the DAFI and LIFE literature meta-analyses (see Supplementary 3 to the main text). - Question meta-data and question-summary provides an overview of the questions, as well as a topline overview of the numbers of responses and internal coherence (entropy) of survey responses.  <h2>2) Code</h2> 4 scripts are provided.  - Firstly the script that was used to summarise survey responses by geographic region (Summarise_by_region) - Secondly the code used to conduct statistical tests presented in the paper - Thirdly the code used to produce plots in the paper - Fourthly the code used to produce topline descriptive statistics presented in the paper

opencc-by-4.0Apr 2024View details →

Predicted protein-protein interactions of the human tyrosine kinase Lck by AF2Complex

Structural models and Supplementary data described in the publication: Predicting protein interactions of the kinase Lck critical to T cell modulation Structure (Cell Press), 2024 Reference Authors: Mu Gao and Jeffrey Skolnick screening_results -- Virtual PPI screening results of the protein kinase Lck (SH3-SH2 domains as the bait). predicted structural models.zip -- Compressed structural models described in the publication. af2c_input_features -- Input features used to predict protein complex models with AF2Complex.

opencc-by-4.0Sep 2024View details →

Usability, Acceptability, User Experience, Human-Device Interaction, and Ergonomics in Two Mobile FES-Cycling Systems for Individuals with Spinal Cord Injury

This database originates from a study comparing two FES-cycling systems: the commercial BerkelBike Pro and a recumbent FES-bike prototype developed by the team at Politecnico di Milano. The aim of the study was to evaluate and compare the usability, acceptability, user experience, human-device interaction, and ergonomics of these two devices for individuals with spinal cord injury (SCI). The study involved 15 participants with SCI, covering a wide range of ages (18 to 65 years) and injury types (both complete and incomplete, at acute and chronic phases). Each participant underwent three sessions with both FES-cycling devices: <ul> <li>First session: Dedicated to setting up the system for each participant. For both the BerkelBike Pro and the FES-bike prototype, the system settings were tailored to meet individual needs, ensuring optimal comfort and function.</li> <li>Second and third sessions: Focused on actual training, where participants used the devices to engage in cycling activities.</li> </ul> At the end of the third session, participants completed a series of questionnaires to assess the usability, acceptability, user experience, and ergonomics of both devices. These questionnaires form the core of the study’s data collection and are central to understanding participants' interactions with the FES-cycling systems. The database is organized as follows: <ol> <li>Demographic data: The first page contains demographic information, including participants' age, gender, height, weight, time after injury, injury type (ASIA grade), and injury level.</li> <li>PGWBI scores: The second page includes baseline data collected using the Psychological General Well-Being Index (PGWBI), which assesses the participants' emotional and psychological state before engaging with the devices. The PGWBI consists of 22 questions grouped into 6 items: "anxiety", "depression", "positivity", "self-control", "health" and "vitality”. The responses are assessed on a 6-point scale ranging from 0 to 5. The score contributions for each question are then added together and transformed to achieve the final score that can range from 0 to 110.</li> <li>SUS scores: The third page contains the results from the System Usability Scale (SUS), a standard 10-item questionnaire that evaluates the usability of each FES-cycling system based on user ratings. The SUS is evaluated using a 5-point Likert scale, where 1 corresponds to strongly disagree, while 5 to strongly agree. The score contributions for each question are then added together and multiplied by 2.5 to achieve the final score that can range from 0 to 100, where higher scores indicate better usability.</li> <li>TAM-3 scores: The fourth page presents data from the Technology Acceptance Model 3 (TAM-3), which measures how participants perceive the ease of use and the usefulness of the devices. . The TAM-3 consists of 50 questions grouped into 14 items. These items include “perceived usefulness”, “perceived ease of use”, “self-efficacy”, “perception of external control”, “playfulness”, “anxiety”, “enjoyment”, “subjective norm”, “voluntariness”, “image”, “relevance”, “output quality”, “result demonstrability” and “behavioral intention”. The items are investigated using a 7-point Likert scale, where 1 corresponds to strongly disagree, while 7 to strongly agree.</li> <li>UEQ scores: The fifth page includes responses from the User Experience Questionnaire (UEQ), evaluating participants' experience with the devices. The UEQ consists of 26 questions grouped in six items: “attractiveness”, “perspicuity”, “efficiency”, “dependability”, “stimulation” and “novelty”. Questions are scored using a 7-point Likert scale, where 1 corresponds to strongly disagree, while 7 to strongly agree. Then scores per item are transformed using a scale ranging from -3 to +3, with +3 representing the most positive value (extremely good) and -3 the most negative one (horribly bad). Values between -0.8 and 0.8 represent a neutral evaluation of the corresponding scale, values > 0.8 represent a positive evaluation and values < -0.8 represent a negative one.</li> <li>Custom questionnaire scores: The sixth page contains data from a custom-designed questionnaire, created specifically for this study to assess the ergonomics of the two FES-cycling systems, with particular attention to human-device interaction at both the physical and psychological levels. It consists of 12 questions covering four items: the transfer from/to the bikes and the initial tuning, bike comfort, its accessibility, and the ease of interaction. Questions are evaluated using a 5-point Likert scale, where 1 corresponds to strongly disagree/very uncomfortable, while 5 to strongly agree/very comfortable.</li> </ol> This comprehensive data collection allows for a thorough comparison of the two FES-cycling systems in terms of user experience and overall acceptability in the SCI population. Please cite the following manuscript when using this database: Nossa R, Biffi E, Sanna N, Diella E, Guanziroli E, Ferrari F, Ferrante S, Molteni F, Pedrocchi A, Tarabini M, Ambrosini E. Assessment of User Experience, Acceptability, Usability, Human-Device Interaction, and Ergonomics in Two Mobile FES-Cycling Systems for Individuals With Spinal Cord Injury. Artif Organs. 2025 Apr 16. doi: 10.1111/aor.15007. Epub ahead of print. PMID: 40237144.

opencc-by-4.0Sep 2024View details →

Differential molecular interactions between iberiotoxin and human SLO3 and SLO1 potassium channels: Data and Software Availability

Considering the need for new male contraceptives, we evaluated the molecular interactions between the human SLO3 and SLO1 potassium channels and iberiotoxin, to provide structural insights for drug development. Here, we provide the supporting data of our manuscript.

opencc-zeroDec 2014View details →

Data from: Epidemiological interactions between urogenital and intestinal human schistosomiasis in the context of praziquantel treatment across three West African countries

Background: In many parts of sub-Saharan Africa, urogenital and intestinal schistosomiasis co-occur, and mixed species infections containing both Schistosoma haematobium and S. mansoni can be common. During co-infection, interactions between these two species are possible, yet the extent to which such interactions influence disease dynamics or the outcome of control efforts remains poorly understood. Methodology/Principal Findings: Here we analyse epidemiological data from three West African countries co-endemic for urogenital and intestinal schistosomiasis (Senegal, Niger and Mali) to test whether the impact of praziquantel (PZQ) treatment, subsequent levels of re-infection or long-term infection dynamics are altered by co-infection. In all countries, positive associations between the two species prevailed at baseline: infection by one species tended to predict infection intensity for the other, with the strength of association varying across sites. Encouragingly, we found little evidence that co-infection influenced PZQ efficacy: species-specific egg reduction rates (ERR) and cure rates (CR) did not differ significantly with co-infection, and variation in treatment success was largely geographical. In Senegal, despite positive associations at baseline, children with S. mansoni co-infection at the time of treatment were less intensely re-infected by S. haematobium than those with single infections, suggesting competition between the species may occur post-treatment. Furthermore, the proportion of schistosome infections attributable to S. mansoni increased over time in all three countries examined. Conclusions/Significance: These findings suggest that while co-infection between urinary and intestinal schistosomes may not directly affect PZQ treatment efficacy, competitive interspecific interactions may influence epidemiological patterns of re-infection post-treatment. While re-infection patterns differed most strongly according to geographic location, interspecific interactions also seem to play a role, and could cause the community composition in mixed species settings to shift as disease control efforts intensify, a situation with implications for future disease management in this multi-species system.

opencc-zeroDec 2013View details →

Data from: Human-induced biotic invasions and changes in plankton interaction networks

1.Pervasive and accelerating changes to ecosystems due to human activities remain major sources of uncertainty in predicting the structure and dynamics of ecological communities. Understanding which biotic interactions within natural multitrophic communities are threatened or augmented by invasions of non-native species in the context of other environmental pressures is needed for effective management. 2.We used multivariate autoregressive models with detailed time-series data from largely freshwater and brackish regions of the upper San Francisco Estuary to assess the topology, direction and strength of trophic interactions following major invasions and establishment of non-native zooplankton in the early 1990s. We simultaneously compared the effects of fish and clam predation, environmental temperature, and salinity intrusion using time-series data from > 60 monitoring locations and spanning more than three decades. 3.We found changes in the networks of biotic interactions in both regions after the major zooplankton invasions. Our results imply an increased pressure on native herbivores; intensified negative interactions between herbivores and omnivores; and stronger bottom-up influence of juvenile copepods but weaker influence of phytoplankton as a resource for higher trophic levels following the invasions. We identified salinity intrusion as a primary pressure but showed relatively stronger importance of biotic interactions for understanding the dynamics of entire communities. 4.Synthesis and applications. Our findings highlight the dynamic nature of biotic interactions and provide evidence of how simultaneous invasions of exotic species may alter interaction networks in diverse natural ecosystems over large spatial and temporal scales. Efforts to restore declining fish stocks may be in vain without fully considering the trophic dynamics that limit the flow of energy to target populations. Focusing on multitrophic interactions that may be threatened by invasions rather than a limited focus on responses of individual species or diversity is likely to yield more effective management strategies.

opencc-zeroJul 2021View details →

Species interactions drive the spread of ampicillin resistance in human-associated gut microbiota

Background and objectives Slowing the spread of antimicrobial resistance is urgent if we are to continue treating infectious diseases successfully. There is increasing evidence microbial interactions between and within species are significant drivers of resistance. On one hand, cross-protection by resistant genotypes can shelter susceptible microbes from the adverse effects of antibiotics, reducing the advantage of resistance. On the other hand, antibiotic-mediated killing of susceptible genotypes can alleviate competition and allow resistant strains to thrive (competitive release). Here, by observing interactions both within and between species in microbial communities sampled from humans, we investigate the potential role for cross-protection and competitive release in driving the spread of ampicillin resistance in the ubiquitous gut commensal and opportunistic pathogen Escherichia coli. Methodology Using anaerobic gut microcosms comprising E. coli embedded within gut microbiota sampled from humans, we tested for cross-protection and competitive release both within and between species in response to the clinically important beta-lactam antibiotic ampicillin. Results While cross-protection gave an advantage to antibiotic-susceptible E. coli in standard laboratory conditions (well-mixed LB medium), competitive release instead drove the spread of antibiotic-resistant E. coli in gut microcosms (ampicillin boosted growth of resistant bacteria in the presence of susceptible strains). Conclusions and implications Competition between resistant strains and other members of the gut microbiota can restrict the spread of ampicillin resistance. If antibiotic therapy alleviates competition with resident microbes by killing susceptible strains, as here, microbiota-based interventions that restore competition could be key for slowing the spread of resistance.

opencc-zeroJan 2023View details →

Emergency-line calls as an indicator to assess human-wildlife interaction in urban areas

Human-wildlife interactions (HWI) are increasingly common as human disturbance and development continue to remove wildlife habitats. Documenting HWIs is critical for management agencies to develop strategies and management decisions that meet the needs of both people and wildlife. However, evaluating the frequency and types of HWI at broad spatial scales (e.g., national or regional level) can be costly and difficult to implement by managers. In this study, we apply a novel method for evaluating the patterns of HWI in urban areas using publicly available data from emergency calls placed by inhabitants of Romania's >300 urban areas. We used information from 4,601 emergency calls (Romanian National Emergency Call System 112), consisting of (1) wildlife species, (2) spatial location, (3) date and time, and (4) a short description of the emergency. Out of the 318 analyzed cities, 300 cities documented emergency calls on HWI between 2015–20120, with roe deer and brown bear as the most frequent species. There was an increasing trend in HWI-related emergency calls in 73% of the urban areas. We mapped the large-scale distribution of HWI by species and type of interactions, capturing variations at the national level, and further, we analyze social and biophysical factors influencing the occurrence and frequency of HWI. The results showed that social factors have the same positive or negative effect on all species, while the effect of the biophysical factors varied between species. Particularly, the presence of large natural habitats, represented by forests, influenced the number of calls only for brown bears. Seminatural landscapes with agricultural land have a different influence in terms of effect and significance for the considered species. Our results suggest that publicly available data from emergency calls can be used for the rapid assessment of HWI and for evaluating trends and predictors of HWI at broad spatial scales.

opencc-by-4.0Jan 2023View details →

Supplementary Material for Human Factors in the Design of Chatbot Interactions: Conversational Design Practices

Supplementary Material for the thesis entitled Human Factors in the Design of Chatbot Interactions: Conversational Design Practices. This repository contains the following files: <ul> <li>systematic_literature_review_data -> Dataset of the retrieved papers from the SLR, the indication of papers that were removed at each step of the protocol, the list of accepted papers, and the search strings that were used;</li> <li>guide_vX -> Faithful prints of the guide's web pages that were shared with the validation participants. V1 was used in the survey, V2 was used in the case study, and V3 is the final version;</li> <li>validation_survey -> <ul> <li>A copy of the Google Forms questionnaire that was used in the survey;</li> <li>Sheet with the answers to this survey;</li> </ul> </li> <li>validation_case_study -> <ul> <li>conversation_samples -> Conversations made by the participants in the case study stages. In each file, the conversation from the left was made without the guide, and the one from the right was created with the guide;</li> <li>interview_transcripts -> Transcripts of the interviews conducted with each participant at the last stage of the case study;</li> <li>instructions_to_participants.pdf -> File provided to participants containing the instructions for each step of the case study;</li> <li>transcripts_coding.xlsx -> Sheet containing transcripts from participants' responses and the corresponding code after the thematic analysis;</li> </ul> </li> </ul>

opencc-by-4.0Apr 2023View details →

Interaction of graphene oxide nanoparcticles with human mesenchymal stem cells

Interaction of graphene oxide nanoparcticles with human mesenchymal stem cells visualized by phase-contrast microscopy (Cell-IQ system) over 24 hours. Two concentrations of nanoparticles were used: 5 µg/mL and 25 µg/mL. Four types of particles were used: <table> <tbody> <tr> <td> Notation </td> <td> Diameter (nm) </td> <td> Coating </td> </tr> <tr> <td> P-GOs </td> <td> 184 ± 73 </td> <td> Linear PEG </td> </tr> <tr> <td> bP-GOs </td> <td> 287 ± 52 </td> <td> Branched PEG </td> </tr> <tr> <td> P-GOb </td> <td> 569 ± 14 </td> <td> Linear PEG </td> </tr> <tr> <td> bP-GOb </td> <td> 1376 ± 48 </td> <td> Branched PEG </td> </tr> </tbody> </table> File names in the archive are as follows: Video S1: Visualization of incubation of cells with P-GOs nanoparticles (5 μg/mL) Video S2: Visualization of incubation of cells with P-GOs nanoparticles (25 μg/mL) Video S3: Visualization of incubation of cells with bP-GOs nanoparticles (5 μg/mL) Video S4: Visualization of incubation of cells with bP-GOs nanoparticles (25 μg/mL) Video S5: Visualization of incubation of cells with P-GOb nanoparticles (5 μg/mL) Video S6: Visualization of incubation of cells with P-GOb nanoparticles (25 μg/mL) Video S7: Visualization of incubation of cells with bP-GOb nanoparticles (5 μg/mL) Video S8: Visualization of incubation of cells with bP-GOb nanoparticles (25 μg/mL) Video S9: Visualization of incubation of cells in the control group (without GO nanoparticles)

opencc-by-4.0Sep 2023View details →

Mapping and modeling human colorectal carcinoma interactions with the tumor microenvironment

This dataset can be interactively explored with VisCello (https://github.com/qinzhu/VisCello). Please install VisCello and use e.g. "cello("path_to/hcc_main_cello")" to load the human colon cancer single cell dataset.

opennotspecifiedDec 2021View details →

Fig. 1 in Plant-cyanobacteria interactions: Beneficial and harmful effects of cyanobacterial bioactive compounds on soil-plant systems and subsequent risk to animal and human health

Fig. 1. Cyanobacterial active compounds induce negative, (A) ROS and enzyme activities such as superoxide dismutase (SOD), glutathione peroxidase (GPx), peroxidase (POD); and positive effects (B) expression of stress responsive genes (Ssglc and slr1562) that can have a positive effect on increasing plants' stress tolerance.

opencc-by-4.0Aug 2023View details →

Video demonstration of the Looking at human face (behaviour element ID code: IILH); and Greeting sound (behaviour element ID code: IVGR) behaviour elements in the Interactive group for Korcsok and Korondi (2023), Biologia Futura

The video demonstrates the behaviour elements: Looking at human face (behaviour element ID code: IILH); and Greeting sound (behaviour element ID code: IVGR) in the interactive experimental group, as exhibited by a social robot. The video is part of an ethogram cataloguing the behaviour elements of the robot, described in the publication: How do you do the things that you do? - Ethological approach to the description of robot behaviour submitted to Biologia Futura (2023) by Korcsok, B. and Korondi, P.

closedIPD-NOFeb 2026View details →

CTH120 First-in-Human Study: Single and Multiple Ascending Doses and Potential Food Interaction

ClinicalTrials.gov study NCT06480968. IPD Sharing: NO. Countries: 1. Publications: 40.

Interaction of Apelin and Angiotensin in the Human Forearm Circulation

ClinicalTrials.gov study NCT00901888. IPD Sharing: Not stated. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

Evaluation of the Effects of Human-Animal Interaction on Anxiety in Graduate Students

ClinicalTrials.gov study NCT07036354. IPD Sharing: YES. Countries: 1. Publications: 6.

Lactobacillus Rhamnosus GG: Interaction With Human Microbiota and Immunity

ClinicalTrials.gov study NCT01148667. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Mephedrone and Alcohol Interactions in Humans

ClinicalTrials.gov study NCT02294266. IPD Sharing: Not stated. Countries: 1. Publications: 1.

TMC207-TiDP13-C117: Interaction Study in Human Immunodeficiency Virus-type 1 (HIV-1) Infected Patients With Nevirapine (NVP)

ClinicalTrials.gov study NCT00910806. IPD Sharing: Not stated. Countries: 1. Publications: 1.